Instructions to use nizarmichaud/whisper-tiny-swiss-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nizarmichaud/whisper-tiny-swiss-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nizarmichaud/whisper-tiny-swiss-german")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nizarmichaud/whisper-tiny-swiss-german") model = AutoModelForMultimodalLM.from_pretrained("nizarmichaud/whisper-tiny-swiss-german") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbb7e5e478c923a880f0c8559049d1ce5ad5175ca08c0290e6ae8eee09843e1a
- Size of remote file:
- 298 MB
- SHA256:
- b00e6fccbc20f0613a71724b6c3ab5b585b0e37b1f1bdb0ab3dfdcb3bb3cbd8e
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